{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b5a252ef-ac0b-4208-ad74-e317ad3855b2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-06-12T01:27:49.188512Z",
     "iopub.status.busy": "2022-06-12T01:27:49.188187Z",
     "iopub.status.idle": "2022-06-12T01:27:49.817590Z",
     "shell.execute_reply": "2022-06-12T01:27:49.816633Z",
     "shell.execute_reply.started": "2022-06-12T01:27:49.188422Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# 导入包\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ad493bae-e5c2-4e3d-89ce-7fb6d49ad33c",
   "metadata": {},
   "source": [
    "1. plt.plot可以通过marker参数来设置数据点的样式\n",
    "2. plt.annotate实现数据点的文本注释"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8542a9fa-c876-494e-b7b7-0688ab0bf50f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-06-11T09:32:48.967174Z",
     "iopub.status.busy": "2022-06-11T09:32:48.966499Z",
     "iopub.status.idle": "2022-06-11T09:32:48.970990Z",
     "shell.execute_reply": "2022-06-11T09:32:48.970098Z",
     "shell.execute_reply.started": "2022-06-11T09:32:48.967146Z"
    }
   },
   "source": [
    "## 一、marker设置"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "483b4bfe-7160-41c9-b788-77784531ac58",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-06-11T09:32:48.967174Z",
     "iopub.status.busy": "2022-06-11T09:32:48.966499Z",
     "iopub.status.idle": "2022-06-11T09:32:48.970990Z",
     "shell.execute_reply": "2022-06-11T09:32:48.970098Z",
     "shell.execute_reply.started": "2022-06-11T09:32:48.967146Z"
    }
   },
   "source": [
    "1. 使用marker来设置数据点样式更加丰富\n",
    "2. marker指定形状\n",
    "3. markerfacecolor指定marker的填充颜色\n",
    "4. markersize指定marker大小\n",
    "5. markeredgecolor指定marker边框颜色"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6db71fe6-2331-44ba-9202-1f5ed1dd92e3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-06-12T01:27:52.393391Z",
     "iopub.status.busy": "2022-06-12T01:27:52.392705Z",
     "iopub.status.idle": "2022-06-12T01:27:52.541007Z",
     "shell.execute_reply": "2022-06-12T01:27:52.540172Z",
     "shell.execute_reply.started": "2022-06-12T01:27:52.393336Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x10f11fe20>]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 创建数据\n",
    "xData = np.linspace(0, 20, 60)\n",
    "yData = np.sin(xData)\n",
    "# 设置绘图数据\n",
    "plt.plot(\n",
    "    xData, yData, marker=\"^\", markerfacecolor=\"r\", markersize=10, markeredgecolor=\"r\"\n",
    ")\n",
    "# 也可以写成这样\n",
    "# plt.plot(\n",
    "#     xData, yData, \"^-\", markerfacecolor=\"r\", markersize=10, markeredgecolor=\"r\"\n",
    "# )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f2a51c2-ac5b-4cd1-91be-e8bff585d7b3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-06-11T09:32:48.967174Z",
     "iopub.status.busy": "2022-06-11T09:32:48.966499Z",
     "iopub.status.idle": "2022-06-11T09:32:48.970990Z",
     "shell.execute_reply": "2022-06-11T09:32:48.970098Z",
     "shell.execute_reply.started": "2022-06-11T09:32:48.967146Z"
    }
   },
   "source": [
    "## 二、数据注释"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f02577f-c1fb-4bec-8b80-43b65c61879a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-06-11T09:32:48.967174Z",
     "iopub.status.busy": "2022-06-11T09:32:48.966499Z",
     "iopub.status.idle": "2022-06-11T09:32:48.970990Z",
     "shell.execute_reply": "2022-06-11T09:32:48.970098Z",
     "shell.execute_reply.started": "2022-06-11T09:32:48.967146Z"
    }
   },
   "source": [
    "```python\n",
    "plt.annotate(text, xy, xytext, arrowprops = {})\n",
    "```\n",
    "\n",
    "* text: 注释文本\n",
    "* xy: 需要注释的点坐标\n",
    "* xytext: 注释文本的坐标（相对坐标）\n",
    "* arrowprops: 箭头样式"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9409cd54-f5e1-4959-9c31-242ca2172981",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-06-12T01:27:56.660286Z",
     "iopub.status.busy": "2022-06-12T01:27:56.659679Z",
     "iopub.status.idle": "2022-06-12T01:27:56.665919Z",
     "shell.execute_reply": "2022-06-12T01:27:56.664862Z",
     "shell.execute_reply.started": "2022-06-12T01:27:56.660255Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# 创建数据\n",
    "yData2 = np.sin(np.arange(10))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cd14e42f-9739-4402-9b89-2478bd0ebb7a",
   "metadata": {},
   "source": [
    "### 2.1 单个注释"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "5d0b154a-e044-4b6b-88e1-6bbb0b1f5af8",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-06-12T01:27:59.379008Z",
     "iopub.status.busy": "2022-06-12T01:27:59.378548Z",
     "iopub.status.idle": "2022-06-12T01:27:59.517000Z",
     "shell.execute_reply": "2022-06-12T01:27:59.515862Z",
     "shell.execute_reply.started": "2022-06-12T01:27:59.378981Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(-0.3, -0.8, '(0,0)')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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rI4WqukZezSqyOhTlY+obHazfW8KsUQOIDPW9+2xtuXHsQKak9OUPmw9RWWPNlytNBG5wrraBt/aWMH9Cgl/88Y4fFEPa4Bie//i4pc1Z5Xu2HS7jbHWDX3QLNRMRfn3TaM5W1/P4liOWxKCJwA3W5hRT02Bn8WTf7hZq6a6MFE6UV/PeZ6VWh6J8SGaOjZiIYKYO955dCN1hTGI0iycP4vmPjpNfWtXj19dE4CJjDKs+LWB0fG/GJfnuTeLW5o4ZyMDeYTz7kQ4lVe5RVdfIuwdPMW9sPCFB/vfR9OD1IwgPDuT36w/0+LX97912szxbJQdKzrFkyiBEWs+F9F3BgQF8+9oh7Mgv59DJ81aHo3zApn0nqW1wcKuPzRforP6Rodw/K5X3DpX1eEvbLYlAROaKyCERyReR5W0cv05EKkUkx/n4dWfP9XSrdhYSFhzAfD/8410yeTBhwQE8p60C5QaZOTaS+oQzaUgfq0OxzLevSeaK/r343foDPbpXuMuJQEQCgSeAG4DRwBIRGd1G1Q+NMROcj//s4rke6UJdI+tybNw0LoHeYcFWh9Pj+vQK4daJiazZY+PshXqrw1FerPR8LTvyTzN/QoJftaxbCwkK4Fc3jeZo2QVe+Ph4j13XHS2CKUC+c//hemA1ML8HzrXcm7nFXKi3s8RHZxJ3xp3XplDX6GDVrgKrQ1Fe7K3cEhwGvxot1J7pI+OYNjyWP285wumquh65pjsSQSLQciZEkbOstWtEJFdE3haRK7t4LiKyTESyRCSrrKzMDWG7btWuQoYPiCRtsP82ZUcMjCJjWD9e+OgEDfaea8oq37I2x8bo+N6k+tDS7a741U2jqKm388fNh3vkeu5IBG2141oPLt8DDDHGjAf+F8jswrlNhcasNMakG2PSY2OtH1p2oPgcuYUVLJ482K+bsgB3XZvCyXO1bNx30upQlBc6WlZFblElCyb6/mTMzhoWF8W3r0lm9a4C9hdXdvv13JEIioCWfSNJQHHLCsaYc8aYKufzDUCwiPTvzLmeavWuAkKCAliYpk3ZGSPjGNIvgmd36E1j1XWZOcWIwC3j9d9SS/fPTKVPRAj/+eaBbt8DxB2JYBeQKiIpIhICLAbWtawgIgPF+bVZRKY4r1vemXM9UU29nTeybdw4ZiAxEd67mba7BAQIS69JZk9BBbketim38mxNK43auDqlHwOjfXel0csRHRHMg9cP59NjZ3i7m1vbLicCY0wjcC+wCTgIvGKM2S8id4vI3c5qtwH7RCQXeBxYbJq0ea6rMXW39XklnK9t9PkF5rria+lJRIYGaatAdUlOYQUnyqv9du5ARxZPHszIgVH8fv1Bahu6b79wt8wjMMZsMMYMN8YMNcb83ln2lDHmKefzvxhjrjTGjDfGXG2M+ehS53q61TsLuKJ/L65K6Wt1KB4jKiyY2yYlsT6vhNJztVaHo7zE2pxiQoICmDvW91cavRyBzm0tbRU1/G3b0W67js4s7qLDp86TdeIsi/1sJnFn3HltMo0Owz8/OWF1KMoLNNodvLW3mJkj4/xyHk5nXTO0HzeMGcjjW45w9X9tIWX5ejJWbCUz2+a2a2gi6KLVOwsJDhQWpSVZHYrHSe7fixkj4njx04JubcYq37A9/zSnq+qZr3MHOpSe3IcGh+HkuVoMYKuo4eE1eW5LBpoIuqC2wc6a7CKuv3Ig/SJDrQ7HI92VkUL5hXrezPWKwV/KQmtziukdFsT0kdYPB/d0z2w/flFZTYOdRzcdcsvv10TQBZv2n6SiuoElfrTcdFdlDOvH8AGRPLvjeLcPeVPeq7q+kU37T3Lj2HhCgwKtDsfjFVfUdKm8qzQRdMGqnQUM7hvBtUP7WR2KxxIR7spI4UDJOXYeO2N1OMpDvXPgFNX1du0W6qSEmPAulXeVJoJOOlpWxSdHz3DH5EEEBOhN4ktZMCGRmIhgnt1x3OpQlIfKzLYRHx2mI+866aE5TXsVtBQeHMhDc0a45fdrIuikl3cVEhggfG2S3iTuSHhIIEumDGbzgZMUnqm2OhzlYcqr6th25DS3TEjQL1WdtGBiIo8sHEtiTDgCJMaE88jCsSxw0/wL399g1w3qGx28truIWaPiiOutsx8741tXD2HltqO88PFxfjnPa1YWVz1gfV4JdofRlUa7aMHERLd98LemLYJOeOfAKcov1OtM4i5IiAln7piBrN5VyIW6RqvDUR4kM9vGiAFRjIrvbXUoykkTQSes3lVAYkw4U1N1mFtXfCcjmfO1jazZU2R1KMpDFJRXs6eggvm60qhH0UTQgYLyaj48cprb0wcRqP2ZXZI2uA/jkqJ59qPjOBw6lFQ17TsAcMt4TQSeRBNBB17OKiBA4PbJepO4q5qGkiZztOwC2454xmZCyjrGGDJzbExJ7ktSnwirw1EtaCK4hAa7g1eyipg+Io74aPeM1/U388YmEBsVqkNJFfuLz/F52QXtFvJAmgguYetnpZSdr9ObxC4ICQrgm1cN4YPDZeSXVlkdjrLQG9k2ggOFeWPjrQ5FtaKJ4BJW7yxgQO9Qpo/Qm8Su+PpVgwkJDOD5j45bHYqyiN1heDO3mOtGxOlmTh5IE0E7bBU1vH+4jNvTBxEUqG+TK2KjQrl5fAKv7ymisqbB6nCUBT7+vJzS83U6d8BDueUTTkTmisghEckXkeVtHP+GiOx1Pj4SkfEtjh0XkTwRyRGRLHfE4w6v7CoE4Pb0QR3UVJ1xV0Yy1fX2L95X5V8yc2xEhgYxc1Sc1aGoNricCEQkEHgCuAEYDSwRkdZTSY8B04wx44DfAStbHZ9ujJlgjEl3NR53sDsMr2QV8tXUWAb11dEN7jAmMZopKX15/uPj2HUoqV+pbbCzcd9J5o4ZSFiwrjTqidzRIpgC5Btjjhpj6oHVwPyWFYwxHxljzjpffgJ49FjMDw6XUlJZy5LJ2hpwp+9kJFN0toZ3DpyyOhTVg7YcLKWqrlG7hTyYOxJBItCyvV/kLGvPd4G3W7w2wGYR2S0iy9o7SUSWiUiWiGSVlXXvmPRVOwvpHxnKrNEDuvU6/mb26IEkxoTzjG5w71cyc2zERYVyjS7f7rHckQjamm7bZttfRKbTlAj+rUVxhjEmjaaupXtEZGpb5xpjVhpj0o0x6bGx3TeK59S5WrZ+Vsptk5II1pvEbhUYICy9dgg7j51hf3Gl1eGoHlBRXc/7h0q5eXyCzsz3YO74pCsCWvahJAEX7VMoIuOAvwPzjTHlzeXGmGLnz1LgDZq6mizzalYhdodhsXYLdYs70gcTHhyoE8z8xPq8EhrsutKop3NHItgFpIpIioiEAIuBdS0riMhgYA3wLWPM4RblvUQkqvk5cD2wzw0xXRaHw7B6VyHXDu1Hcv9eVoXh06Ijglk0KZF1OcWcrqqzOhzVzdZmFzM0thdjEnWlUU/mciIwxjQC9wKbgIPAK8aY/SJyt4jc7az2a6Af8H+thokOALaLSC6wE1hvjNnoakyXa3v+aYrO1uhM4m5257Up1NsdvPRpgdWhqG5UdLaancfPsGBCIiLaLeTJ3LIxjTFmA7ChVdlTLZ5/D/heG+cdBca3LrfK6l0F9IkIZs6VepO4Ow2Li2Tq8Fj+8ckJ7p42lJAgvRfji9blNvUQ677Enk//BTqVna9j8/5TLEpLIjRIxzp3t7sykik7X8eGvBKrQ1HdZG12MWmDYxjcT+fieDpNBE6v7ymi0WG0W6iHTEuN5Yr+vXh2xzGM0QlmvuZgyTkOnTrfbVsrKvfSREDTOumrdxYwJbkvw+IirQ7HLwQECHdmJJNbVMnk328hZfl6MlZsJTPbZnVoyg0yc2wEBuhKo95CEwHw8dFyjpdXs3iKDhntSaHOeRqnq+owNC309/CaPE0GXs7hMLyZU8zU1P70iwy1OhzVCZoIgNU7C+kdFsSN+u2lRz2+Nf+ispoGO49uOmRBNMpddh4/Q3FlrXYLeRG/TwRnLtSzcd9JFqYl6YJYPay4oqZL5co7ZGbbiAgJZLYu0eI1/D4RrNlTRL3dod1CFkiIaXv7z/bKleera7SzIa+EOVcOJCLELaPTVQ/w60RgjGHVzgImDo5h5ECd+djTHpozgvBWrbDw4EAemjPCooiUq977rIxztY3Mn6D7EnsTv04EWSfO8nnZBZZM1iGjVlgwMZFHFo4lPjoMgIiQQB5ZOFb7lr3Y2hwb/SND+Mqw/laHorrArxPBqp0FRIYGcdN4vUlslQUTE/n44ZksSksiQIQ5Vw60OiR1mc7VNrDls1JuGpeg27t6Gb/9v1VZ3cD6vSXMn5CgfZkeYNGkRKrqGtl84KTVoajLtDHvJPWNDu0W8kJ+mwgyc2zUNTpYojOJPcLVKf1IjAnntd1FVoeiLlNmjo0h/SKYMCjG6lBUF/llImi+STw2MZoxidFWh6Nommm8MC2RHfmnOVlZa3U4qotOVtby8dFy5utKo17JLxNBTmEFn508r0NGPczCtCQcBt7QmcVeZ12uDWNggXYLeSW/TASrdxYSERLILeP1j9aTpPTvxaQhfXh9T5EuROdlMrOLGZ8UzRWxulaXN/K7RHC+toF1ucXcPC6BqLBgq8NRrSxKSyK/tIq9Rbqnsbc4cuo8B0rO6b4DXswtiUBE5orIIRHJF5HlbRwXEXnceXyviKR19lx3W5dbTE2DnSVX6U1iTzRvXDwhQQG8vkdvGnuLzBwbAYIOw/ZiLicCEQkEngBuAEYDS0RkdKtqNwCpzscy4MkunOsWmdk2MlZs5Zdv7CMoQDhWVtUdl1Euig4P5vrRA1iXW0xdo93qcFQHjDGszSkmY1h/4qLCrA5HXSZ3tAimAPnGmKPGmHpgNTC/VZ35wAumySdAjIjEd/Jcl2Vm23h4TR4252JmjQ7DL97Yp8sde6hFk5KoqG7gvc9KrQ5FdWD3ibMUna1hgXYLeTV3JIJEoLDF6yJnWWfqdOZclz266RA1DV/+dqnLHXuurw7rT2xUKK/t1kTt6TJzbIQFBzBnjM4I92buSARtDRpuPeSjvTqdObfpF4gsE5EsEckqKyvrUoC63LF3CQoM4NaJibx/qJTyqjqrw1HtqG90sH5vCbNGDSAyVGfnezN3JIIioOWA/CSguJN1OnMuAMaYlcaYdGNMemxsbJcC1OWOvc+itCQaHU39z8ozbTtcxtnqBm7VRQK9njsSwS4gVURSRCQEWAysa1VnHfBt5+ihq4FKY0xJJ891mS537H1GDIxiTGJvHT3kwTJzbPSJCGbq8K59MVOex+VEYIxpBO4FNgEHgVeMMftF5G4RudtZbQNwFMgH/gb86FLnuhpTa83LHSfGhCNAYky4LnfsBRalJbG/+BwHS85ZHYpqpaqukXcPnmLeuHiCdaVRryfeOIMzPT3dZGVlWR2G6mblVXVc9V9buPPaZP79pm4ZVawu0+u7i3jw1Vxeu/sa0pP7Wh2O6iQR2W2MSW9drqlceax+kaFMHxlHZk4xjXaH1eGoFjJzbCT1CWfSkD5Wh6LcQBOB8mi3TUridFUd2450baSY6j6l52vZkX+a+RMSdKVRH6GJQHm06SPi6BMRzOs6p8BjvJVbgsOgk8h8iCYC5dFCggKYPyGRdw6corK6wepwFE37Eo+O703qgCirQ1FuoolAebxFaUnU2x28uVfnFFjtaFkVuUWVOnfAx2giUB5vTGJvhg+I1DkFHiAzpxgRuFn38vApmgiUxxMRFqUlkV1Qwee6aqxlmlYatXHNFf0YGK0rjfoSTQTKK9w6MZEAgTXaKrBMTmEFJ8qr9SaxD9JEoLxCXO8wvpoayxt7bDgc3jcJ0heszSkmJCiAuWN1pVFfo4lAeY1Fk5Iorqzl46PlVofidxrtDt7aW8zMkXH01i1efY4mAuU1rh89gKiwIF7frd1DPW17/mlOV9XrvsQ+ShOB8hphwYHcNC6et/edpKqu0epw/MranGJ6hwUxfaSuNOqLNBEor7IoLYmaBjtv55VYHYrfqK5vZNP+k8wbF09oUGDHJyivo4lAeZVJQ/qQ3C9C5xT0oHcOnKK63q7dQj5ME4HyKiLCwrQkPjl6hsIz1VaH4xcys20kRIcxRZeb9lmaCJTXaV7e4I1sXYiuu5VX1bHtyGlunpBAQICuNOqr/CoRGGOYf8MNHDhwwOpQlAsG9Y3g6iv6smZPEd64sZI3WZ9Xgt1hdBKZj3MpEYhIXxF5R0SOOH9etEuFiAwSkfdE5KCI7BeR+1sc+42I2EQkx/m40ZV4OpKbm8u6jRv5v8ce687LqB6wKC2J4+XV7D5x1upQfFpmto0RA6IYFd/b6lBUN3K1RbAc2GKMSQW2OF+31gg8aIwZBVwN3CMiLfcd/B9jzATnY4OL8VzSS889xzcCA3nppZeortb+ZW92w9h4woMD9aZxNyoor2ZPQQXzJ+oCc77O1UQwH3je+fx5YEHrCsaYEmPMHufz8zRtUt/j7UyHw8Hqf/6Tf7PbuTYggJdXr+7pEJQbRYYGccOYgbyVW0Jtg93qcHzS2pymezC36EqjPs/VRDDAGFMCTR/4QNylKotIMjAR+LRF8b0isldEnmmra6nFuctEJEtEssrKur5t4UcffUR0XR1jgR9cuMBf//jHLv8O5VkWTUrifF0jmw+csjoUn5KZbSNjxRb++M5hQgIDyDqu3W++rsNEICLvisi+Nh7zu3IhEYkEXgceMMaccxY/CQwFJgAlQLufzsaYlcaYdGNMemxs12c3vvTMMyxxdgfdANiOHyc3N7fLv0d5jmuu6EdCdJguOeFGmdk2Hl6Th62iFoB6u4OH1+SRqSO0fFqHicAYM8sYM6aNx1rglIjEAzh/lrb1O0QkmKYk8KIxZk2L333KGGM3xjiAvwFT3PEf1VpDQwOvvfYaix0OAIKA79XVsfLPf+6Oy6keEhAg3JqWyIdHyjh1rtbqcHzCo5sOUdOqq62mwc6jmw5ZFJHqCa52Da0DljqfLwXWtq4gIgI8DRw0xjzW6lh8i5e3AvtcjKdN7777LkOBK1qUfdduZ9Xq1Vy4cKE7Lql6yMK0JBwG/cbqJsUVNV0qV77B1USwApgtIkeA2c7XiEiCiDSPAMoAvgXMaGOY6H+LSJ6I7AWmAz9xMZ42rXr6aZacP/+lsiTgKwEBrF61qjsuqXrI0NhIJg6O4XWdU+AWCTHhXSpXvsGlRGCMKTfGzDTGpDp/nnGWFxtjbnQ+326MEWPMuNbDRI0x3zLGjHUeu6X5xrM71dTU8OaGDdzexrEfXLjASr1p7PUWpSVx+FQV+2znOq6sLumeGUMvKgsPDuShOSMsiEb1FJ+fWfzWW2+RHhREW3sqzQVKCgrIycnp4aiUO908LoGQoACdU+AGp8/XAxAbFYoAiTHhPLJwLAsm6sxiXxZkdQDdbdXf/nZRt1CzQJpuGv/1T3/iyeee69G4lPtERwQze9QA1ubY+MWNowgJ8vnvN93ifG0DT28/xqxRA/j70nSrw1E9yKf/xVRUVLBl2zYWXqLOd+12Xn7lFaqqqnosLuV+iyYlcra6gfcOtTlwTXXCCx+foLKmgftmDrM6FNXDfDoRvLFmDTOCgoi5RJ1EYGpAAKteeqmHolLdYWpqLP0jQ3VOwWW6UNfI09uPcd2IWMYlxVgdjuphPp0IVq1cyZJODA9dduECK3UhOq8WFBjAggkJbP2slPKqOqvD8TovfnqCMxfq+fGMVKtDURbw2URw8uRJdubkcFMH9Qwwjaabxnv27OmByFR3WTQpiUaHYV1usdWheJWaejsrtx3jK8P6M2lIu6u8KB/ms4lg48aN1NvtTOndm+ek/Q01/gpEBwRwzhiyNRF4tVHxvRkd31tHD3XRqp0FnK6q476Z2hrwVz6bCO644w62f/opc7//ffKC2h8cdQG474c/5FxNDd/93vd6LkDVLRZNSmKf7RyHTrY9Ukx9WW2Dnac++Jyrr+jLlBTditJf+WwiCA8PJy0tjSFDhlAf0P5/ZghQX6vr1PiK+RMSCAoQbRV00qtZhZSer+M+vTfg13w2ETQLCQnpMBE01OnNRV/RPzKU60bE8Ua2jUa7w+pwPFp9o4Mn3/+c9CF9uGZoP6vDURbSRIC2CHzNbZMSKTtfx4f5p60OxaO9vqeI4spafjwzFbnEfTTl+/wiETRc4o88BKjXFoFPmT4yjpiIYJ1TcAkNdgdPvJfP+EExTE3tb3U4ymI+nwiCg4Op00TgV0KDArllfAKbD5yisqbB6nA8Uma2jaKzNdw3Y5i2BpTvJ4KOWgTBaCLwRYvSkqhvdLB+r9sXtPV6jc7WwJUJvZkx8pK7yyo/4feJQFsEvmlcUjTD4iJ19FAb3txbzPHyau7TewPKyecTQXBwMPWXOB5C01aWyreICIvSkth94izHTusudM3sDsNftuYzcmAUs0cNsDoc5SFcSgQi0ldE3hGRI86fbc5PF5Hjzp3IckQkq6vnuyIkJKTDRFBff6kaylvdOjGRAIE12ir4woa8Ej4vu8CPZ6QSEKCtAdXE1RbBcmCLMSYV2OJ83Z7pzt3JWi503pXzL0tISAiHamu5Ozyc70RE8M3ISO6IiuLW3r2ZFx3NzyIjsXf8a5QXGhgdRsaw/qzZY8Ph0G0sHc7WwLC4SG4Y09ZWTcpfuboxzXzgOufz54H3gX/rwfM7NH78eH792GOICCEhIW0+kpOT3XlJ5UFum5TE/atz+ORYOdcO9e9hkpsPnOTQqfP8efEEbQ2oL3E1EQxo3mfYGFMiIu0NQTDAZhExwF+NMSu7eD4isgxYBjB48OBOBxgREcGPfvSjTtdXvuX60QOJDA3i9d02v04Exhge35JPSv9e3DQuwepwlIfpsGtIRN4VkX1tPOZ34ToZxpg04AbgHhGZ2tVAjTErjTHpxpj02NjYrp6u/FR4SCDzxsbz9r4SLtQ1Wh2OZbYcLOVAyTnumT6MQG0NqFY6TATGmFnGmDFtPNYCp0QkHsD5s819Ao0xxc6fpcAbwBTnoU6dr5QrFk1KorrezsZ9J60OxRLGGB7feoTBfSOYP0FbA+pirt4sXgcsdT5fCqxtXUFEeolIVPNz4HpgX2fPV8pVk5P7MLhvhN/OKfjgcBl7iyr50XVDCQ70+RHj6jK4+lexApgtIkeA2c7XiEiCiGxw1hkAbBeRXGAnsN4Ys/FS5yvlTiLCwrREPj5ajq2ixupwelTTvYEjJMaEszAtyepwlIdy6WaxMaYcmNlGeTFwo/P5UWB8V85Xyt0WpSXxp3eP8MaeIu71o7X3P/q8nD0FFfxuwRhCgrQ1oNqmfxnKLwzqG8GUlL68vseGMf4zp+DPW44wsHcYt6dra0C1TxOB8hu3pSVx7PQF9hRUWB1Kj/jkaDk7j53hB9OuIDQo0OpwlAfTRKD8xg1jBxIWHOA3N43/d+sR+keGsmRK5+fdKP+kiUD5jaiwYOZeOZC3coupbfDthUV2nzjDjvxyfjD1CsKCtTWgLk0TgfIriyYlca62kXcPnrI6lG71+JZ8+vYK4RtXa2tAdUwTgfIr1w7tz8DeYT69jWVOYQUfHC7j+1+9gogQV1eRUf5AE4HyK4EBwq1piWw7cprS87VWh9Mt/rL1CDERwXzrmiFWh6K8hCYC5XcWpSVhdxjWZhdbHYrb7bNV8u7BUr6bkUJkqLYGVOdoIlB+Z1hcJOMHxfD6niKfm1Pwv1uPEBUWxNKMZKtDUV5EE4HyS7elJfLZyfPsLz5ndShu89nJc2zaf4q7MlLoHRZsdTjKi2giUH7p5vEJhAT61pyC/92aT6+QQL6jrQHVRZoIlF+KiQhh5qg41uYUU9/osDocl+WXnmdDXglLr00mJiLE6nCUl9FEoPzWorQkzlyo5/1D3r8Nxl+25hMeHMj3vnqF1aEoL6SJQPmtaSNi6dcrxOu7h46dvsC63GK+efUQ+vbS1oDqOk0Eym8FBwYwf0IiWz8r5eyFeqvDuWxPvJdPcGAA39fWgLpMmgiUX7ttUhINdsO6XO+cU1BQXs0b2Ta+ftVgYqNCrQ5HeSlNBMqvjU7ozaj43l7bPfTkB/kEBgh3TxtqdSjKi7mUCESkr4i8IyJHnD/7tFFnhIjktHicE5EHnMd+IyK2FsdudCUepS7HiAGR7C2qJGX5ejJWbCUz22Z1SJ1iq6jhtd1F3JE+iAG9w6wOR3kxV1sEy4EtxphUYIvz9ZcYYw4ZYyYYYyYAk4Bq4I0WVf6n+bgxZkPr87uqpqaGadOmYbfbef7550lNTSU1NZXnn3++zfpnzpxh9uzZpKamMnv2bM6ePQtAXl4ed955p6vhKA+XmW1j476TABiaPlwfXpPnFcngqfc/B+Du67Q1oFzjaiKYDzR/wj4PLOig/kzgc2PMCRev265nnnmGhQsXUllZyW9/+1s+/fRTdu7cyW9/+9svPuRbWrFiBTNnzuTIkSPMnDmTFStWADB27FiKioooKCjorlCVB3h00yFqW80jqGmw8+imQxZF1DknK2t5eVcht00aRGJMuNXhKC/naiIYYIwpAXD+jOug/mJgVauye0Vkr4g801bXUjMRWSYiWSKSVVZW1u4FXnzxRebPn8+mTZuYPXs2ffv2pU+fPsyePZuNGzdeVH/t2rUsXboUgKVLl5KZmfnFsZtvvpnVq1d38J+kvFlxRU2Xyj3FUx98jt0YfqStAeUGHSYCEXlXRPa18ZjflQuJSAhwC/Bqi+IngaHABKAE+GN75xtjVhpj0o0x6bGxsW3Wqa+v5+jRoyQnJ2Oz2Rg0aNAXx5KSkrDZLm7unzp1ivj4eADi4+MpLf3X5KL09HQ+/PDDTv83Ku+T0M636fCQQMqr6no4ms4pPV/Lqp0FLJyYyKC+EVaHo3xAh4nAGDPLGDOmjcda4JSIxAM4f15qiuYNwB5jzBdbQxljThlj7MYYB/A3YIor/zGnT58mJiam+XdfdFxEuvT74uLiKC72zmGFqnMemjOC8FZbOQYFCDX1dmb88QNe/PQEdodnrVD6t21HabA7uGf6MKtDUT7C1a6hdcBS5/OlwNpL1F1Cq26h5iTidCuwz5VgwsPDqa1t2mwkKSmJwsLCL44VFRWRkJBw0TkDBgygpKQEgJKSEuLi/tW7VVtbS3i49r/6sgUTE3lk4VgSY8IRIDEmnD98bTybfjKVkQOj+OUb+1j4fzvIK6q0OlQAyqvq+OcnBcyfkEhy/15Wh6N8hKuJYAUwW0SOALOdrxGRBBH5YgSQiEQ4j69pdf5/i0ieiOwFpgM/cSWYPn36YLfbqa2tZc6cOWzevJmzZ89y9uxZNm/ezJw5cwB4+OGHeeONpoFLt9xyyxcjip5//nnmz/9Xj9fhw4cZM2aMKyEpL7BgYiI7ls/g2Ip57Fg+gwUTExk+IIrVy67mT3dMwFZRyy1PbOdXmfuorG6wNNa/bz9GbaNdWwPKrVzawsgYU07TSKDW5cXAjS1eVwP92qj3LVeu35brr7+e7du3M2vWLH71q18xefJkAH7961/Tt29foGlo6C233ALA8uXLuf3223n66acZPHgwr776r1sY7733HvPmzXN3iMpLiAgLJiYyY1Qcj20+zAsfH2dDXgkP3ziKRWmJXe5qdFVFdT0vfHSceWPjGRYX2aPXVr5NvHGHpvT0dJOVldXmsezsbB577DH+8Y9/tHv+nDlz2LRp0yWvUVdXx7Rp09i+fTtBQbrln2raBvJXa/eRXVDB5OQ+/G7BGEYO7N1j139s8yEe35rPpgemMmJgVI9dV/kOEdltjElvXe5zS0xMnDiR6dOnY7fb263TURIAKCgoYMWKFZoE1BfGJEbz+t3X8v8vGkt+aRXzHt/O//fWAarqGrv92pU1DTy74zhzrxyoSUC5nc+1CJTqCWcv1PPfmz5j9a5C4qJC+dVNo5k3Nr7buose33KEx945zPr7vsKVCdHdcg3l+/ymRaBUT+jTK4RHFo5jzQ+vpX9kKPe+lM23nt7J52VVbr/W+doGnt5+jFmj4jQJqG6hiUApF0wc3Id1936F/5x/JblFFcz90zYe3fQZNfXtd0121T8+OUFlTQM/npHqtt+pVEuaCJRyUWCA8O1rktn64HXcPC6BJ977nFmPfcA7B051fHIHLtQ18vcPjzFteCzjB8W4HqxSbdBEoJSbxEaF8tgdE3h52dX0Cg3k+y9k8d3ndlF4pvqyf+eLn57gzIV67puprQHVfTQRKOVmV13Rj/X3fZVf3DiSj4+WM+uxD3h8yxHqGrvWXVRTb2fltmN8ZVh/Jg1pdz1GpVymiUCpbhAcGMCyqUPZ8uA0Zo0awGPvHGbunz5k2+H2V85tbdXOAk5X1fHjGTqLWHUvTQRKdaP46HCe+EYaL3ynaT3Fbz+zkx+9uJuSyksvc13bYOev2z7nqpS+XHXFRZPylXIrTQRK9YCpw2PZ+MBXeXD2cLYcLGXmHz9g5bbPabA72qz/alYhp87V6b0B1SM0ESjVQ0KDAvnxzFTe/ek0rh3aj//a8BnzHv+QT4+Wf6lefaODJ9//nElD+nDtUG0NqO6n6yco1cMG9Y3g70sn886BU/xm3X7uWPkJCycmMmFwDH/94Cg25+5oN43vvpnKSrWkiUApi8wePYCvDOvPE+/l83/v57Mm+8s76P3j4xOMjo9mwcREiyJU/kK7hpSyUHhIID+bM4L+kaEXHatpcPDopkMWRKX8jSYCpTxA2fm290currj06CKl3MGlRCAiXxOR/SLiEJGLVrRrUW+uiBwSkXwRWd6ivK+IvCMiR5w/ddaM8ksJMW1vidpeuVLu5GqLYB+wENjWXgURCQSeoGnz+tHAEhEZ7Ty8HNhijEkFtjhfK+V3HpozgvDgwC+VhQcH8tCcERZFpPyJS4nAGHPQGNNRJ+YUIN8Yc9QYUw+sBpo3Bp4PPO98/jywwJV4lPJWCyYm8sjCsSTGhCNAYkw4jywcqzeKVY/oiVFDiUBhi9dFwFXO5wOMMSUAxpgSEYlr75eIyDJgGcDgwYO7KVSlrLNgYqJ+8CtLdJgIRORdYGAbh35pjFnbiWu0NRC6y9uiGWNWAiuhaYeyrp6vlFKqbR0mAmPMLBevUQQMavE6CSh2Pj8lIvHO1kA8UOritZRSSnVRTwwf3QWkikiKiIQAi4F1zmPrgKXO50uBzrQwlFJKuZGrw0dvFZEi4BpgvYhscpYniMgGAGNMI3AvsAk4CLxijNnv/BUrgNkicgSY7XytlFKqB4kx3tfdnp6ebrKysqwOQymlvIqI7DbGXDTnyysTgYiUAScu8/T+wGk3huPt9P34F30vvkzfjy/zhfdjiDEmtnWhVyYCV4hIVlsZ0V/p+/Ev+l58mb4fX+bL74euNaSUUn5OE4FSSvk5f0wEK60OwMPo+/Ev+l58mb4fX+az74ff3SNQSin1Zf7YIlBKKdWCJgKllPJzfpUI2tsgx9+IyCAReU9EDjo3Frrf6pg8gYgEiki2iLxldSxWE5EYEXlNRD5z/p1cY3VMVhGRnzj/newTkVUiEmZ1TO7mN4mggw1y/E0j8KAxZhRwNXCPH78XLd1P0zIoCv4MbDTGjATG46fvi4gkAvcB6caYMUAgTeul+RS/SQRceoMcv2KMKTHG7HE+P0/TP3K/XghfRJKAecDfrY7FaiLSG5gKPA1gjKk3xlRYGpS1goBwEQkCIvjX6sk+w58SQVsb5Pj1hx+AiCQDE4FPLQ7Fan8Cfg44LI7DE1wBlAHPOrvK/i4ivawOygrGGBvwB6AAKAEqjTGbrY3K/fwpEbhlgxxfIiKRwOvAA8aYc1bHYxURuQkoNcbstjoWDxEEpAFPGmMmAhfw0/3ERaQPTT0HKUAC0EtEvmltVO7nT4ngUhvk+B0RCaYpCbxojFljdTwWywBuEZHjNHUZzhCRf1obkqWKgCJjTHMr8TWaEoM/mgUcM8aUGWMagDXAtRbH5Hb+lAgutUGOXxERoan/96Ax5jGr47GaMeZhY0ySMSaZpr+LrcYYn/vW11nGmJNAoYiMcBbNBA5YGJKVCoCrRSTC+e9mJj5447wnNq/3CMaYRhFp3iAnEHimxQY5/iYD+BaQJyI5zrJfGGM2WBeS8jA/Bl50fmk6CtxlcTyWMMZ8KiKvAXtoGm2XjQ8uNaFLTCillJ/zp64hpZRSbdBEoJRSfk4TgVJK+TlNBEop5ec0ESillJ/TRKCUUn5OE4FSSvm5/weo818pKYDsXgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 设置图形绘制数据\n",
    "plt.plot(yData2, marker=\"o\")\n",
    "# 设置注释\n",
    "plt.annotate(\n",
    "    \"(0,0)\",\n",
    "    xy=(0, 0),\n",
    "    xytext=(-0.3, -0.8),  # 也可以不设置，采用默认值\n",
    "    arrowprops={\n",
    "        \"shrink\": 0.3,  # 缩放长度，建议小于0.5\n",
    "        \"width\": 8,  # 箭身宽度\n",
    "        \"headwidth\": 12,  # 箭尖宽度\n",
    "        \"headlength\": 16,  # 箭尖长度度\n",
    "        \"facecolor\": \"r\",  # 填充颜色\n",
    "        \"edgecolor\": \"k\",  # 边框颜色\n",
    "    },\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1c29b27d-194e-41ca-8488-c11804e325fb",
   "metadata": {},
   "source": [
    "### 2.2 批量注释"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "c43b9486-c8eb-45f0-84d2-cfa57efbee18",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-06-12T01:28:02.127464Z",
     "iopub.status.busy": "2022-06-12T01:28:02.126866Z",
     "iopub.status.idle": "2022-06-12T01:28:02.261165Z",
     "shell.execute_reply": "2022-06-12T01:28:02.260149Z",
     "shell.execute_reply.started": "2022-06-12T01:28:02.127430Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 设置图形绘制数据\n",
    "plt.plot(yData2, marker=\"^\")\n",
    "# 设置注释\n",
    "for index, value in enumerate(yData2):\n",
    "    plt.annotate(\n",
    "        \"%d,%.2f\" % (index, value), xy=(index, value), xytext=(index - 0.2, value - 0.2)\n",
    "    )"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
